Deprecated. This documents the Legacy API (v1) at https://api.heymilo.network. For new integrations, use the v2 API Overview and v2 API Reference.

Legacy API (v1) — Public API Documentation

Overview

The HeyMilo API provides programmatic access to the HeyMilo recruitment and interview platform, empowering developers to seamlessly integrate with our AI-powered hiring system. With this API, you can:

Retrieve and manage candidate information
Oversee and update job postings
Set up webhooks for real-time event notifications
Access detailed interview data and transcripts
Ingest candidate data for processing

Base URL

All API endpoints use the following base URL:

https://api.heymilo.network

Authentication

Important: All API requests require authentication using the X-API-KEY header.

X-API-KEY: your_api_key_here

This header must be included in every request to the API. Requests without a valid API key will receive a 401 Unauthorized response.

Rate Limiting

The API implements rate limiting to ensure fair usage:

Default Rate Limit: 300 requests per minute per API key
Rate limit headers are included in responses to help you track usage
If you exceed the rate limit, you’ll receive a 429 Too Many Requests response

Response Codes

The API uses standard HTTP status codes:

200 - Success
401 - Unauthorized (missing or invalid API key)
404 - Not Found
422 - Validation Error
429 - Too Many Requests (rate limit exceeded)
500 - Internal Server Error

API Endpoints

1. Health Check

GET /health Check the health status of the API Gateway.

Response

{
  "message": "API Gateway is running successfully",
  "status": 200
}

Response Schema

Field	Type	Description
`message`	string	Status message
`status`	integer	HTTP status code

2. Get Job Postings

GET /postings Retrieve job postings with pagination support.

Query Parameters

Parameter	Type	Required	Default	Description
`page`	integer	No	1	Page number for pagination
`limit`	integer	No	10	Number of results per page

Example Request

curl -X GET "https://api.heymilo.network/api/postings?page=1&limit=10" \
  -H "X-API-KEY: your_api_key_here"

Response

{
  "postings": [
    {
      "posting_id": "posting_123",
      "title": "Software Engineer",
      "name": "software-engineer",
      "description": "We are looking for a talented software engineer to join our team...",
      "company_id": "comp_67890",
      "created_at": 1652345678,
      "last_updated": 1652345678,
      "archived": false,
      "deadline": 1662345678,
      "finalized": true,
      "phone_number_id": "pn_12345",
      "root_level_configs": {
        "instructions": "General instructions for all agents in this posting",
        "company_overview": "Our company is a leading tech firm specializing in AI solutions",
        "job_overview": "This role involves developing backend services using Python and FastAPI",
        "interview_process_overview": "The interview process consists of resume screening, technical interview, and culture fit assessment",
        "language": "en",
        "interviewer_name": "Alex Johnson"
      },
      "agentic_workflow": [
        {
          "type": "resume",
          "unique_id": "resume_screen_1",
          "config": {
            "instructions": "Evaluate resumes based on technical skills and experience",
            "knockout_enabled": true,
            "min_evaluation_score": 0.7,
            "mandatory": true
          }
        },
        {
          "type": "web_interview",
          "unique_id": "tech_interview_1",
          "config": {
            "instructions": "Conduct a technical interview focusing on Python and system design",
            "interviewer_name": "Alex Johnson",
            "video": true,
            "voice_id": "voice-2",
            "web_interview_config": {
              "backdrop_image_url": "https://example.com/backdrop.jpg",
              "avatar_image_url": "https://example.com/avatar.jpg",
              "show_transcript": true,
              "vapi_call_config": {
                "end_call_message": "Thank you for your time. The interview is now complete.",
                "idle_message_max_spoken_count": 3,
                "idle_timeout_seconds": 10,
                "wait_seconds": 2.4,
                "backoff_seconds": 2
              }
            }
          }
        },
        {
          "type": "conversational_sms",
          "unique_id": "sms_screen_1",
          "config": {
            "instructions": "Ask preliminary questions about availability and salary expectations",
            "knockout_enabled": true
          }
        }
      ],
      "url_key": "unique_url_key_for_posting"
    },
    {
      "posting_id": "post_67890",
      "title": "Product Manager",
      "name": "product-manager",
      "description": "Join our product team to help shape the future of our platform...",
      "company_id": "comp_67890",
      "created_at": 1652345679,
      "last_updated": 1652345679,
      "archived": false,
      "deadline": 1662345679,
      "finalized": true,
      "phone_number_id": "pn_67890",
      "root_level_configs": {
        "instructions": "General instructions for all agents in this posting",
        "company_overview": "Our company is a leading tech firm specializing in AI solutions",
        "job_overview": "This role involves product management for our AI platform",
        "language": "en"
      },
      "agentic_workflow": [
        {
          "type": "resume",
          "unique_id": "resume_screen_1",
          "config": {
            "instructions": "Evaluate resumes based on product management experience",
            "knockout_enabled": true,
            "min_evaluation_score": 0.7,
            "mandatory": true
          }
        }
      ],
      "url_key": "unique_url_key_for_posting"
    }
  ],
  "total": 42,
  "page": 1,
  "limit": 10,
  "total_pages": 5
}

Response Schema

Field	Type	Description
`postings`	array	List of job posting objects
`total`	integer	Total number of postings
`page`	integer	Current page number
`limit`	integer	Number of postings per page
`total_pages`	integer	Total number of pages

Posting Object Schema:

Field	Type	Description
`posting_id`	string	Unique identifier for the posting
`title`	string	Job title
`name`	string	URL-friendly name for the posting
`description`	string	Job description
`company_id`	string	Company identifier
`created_at`	float	Timestamp when posting was created
`last_updated`	float	Timestamp when posting was last updated
`archived`	boolean	Whether the posting is archived
`deadline`	float	Deadline for the posting (optional)
`finalized`	boolean	Whether the posting is finalized
`phone_number_id`	string	Associated phone number ID
`root_level_configs`	object	Top-level settings like instructions and company/job overview
`agentic_workflow`	array	List of agent-driven steps (e.g., resume, web interview)
`url_key`	string	Unique URL key for candidate ingestion

Root Level Configs Schema:

Field	Type	Description
`instructions`	string	General instructions for agents
`company_overview`	string	Overview of the company (optional)
`job_overview`	string	Overview of the job (optional)
`interview_process_overview`	string	Interview process overview (optional)
`language`	string	Communication language
`interviewer_name`	string	Name of the interviewer (optional)

Agentic Workflow Configs Schema:

Field	Type	Description
`type`	string	Step type (e.g., resume, web_interview, conversational_sms)
`unique_id`	string	Unique ID for the workflow step
`config`	object	Configuration specific to the workflow type

3. Get Interview Details by Interview ID

GET /interview/{interview_id} Retrieve detailed information about a specific interview, including candidate details, scores, and recordings.

Path Parameters

Parameter	Type	Required	Description
`interview_id`	string	Yes	The unique identifier for the interview

Example Request

curl -X GET "https://api.heymilo.network/api/interview/{interview_id}" \
  -H "X-API-KEY: your_api_key_here"

Response

{
    "interview_id": "int_abc123",
    "details": {
        "interview_id": "int_abc123",
        "candidate_id": "cand_xyz789",
        "interviewed_on": 1676452800,
        "score": 85.5,
        "name": "John Smith",
        "email": "john.smith@example.com",
        "actions": {
            "can_view": true,
            "can_download": true
        },
        "status": "completed",
        "workflow_status": {
            "interview_id": "int_abc123",
            "step_by_step": [
            {
                "complete": true,
                "required": true,
                "order": 1,
                "id": "resume_upload",
                "started": true,
                "details": {
                "details": "Resume uploaded and analyzed"
                },
                "last_updated_timestamp": 1676452800
            },
            {
                "complete": true,
                "required": true,
                "order": 2,
                "id": "web_interview",
                "started": true,
                "is_analyzing_call": false,
                "last_updated_timestamp": 1676456400
            }
            ],
            "all_complete": true,
            "last_engagement": 1676456400
        },
        "metadata": {
            "resume": {
            "file_link": "https://example.com/resumes/abc123.pdf"
            },
            "web_interview": {
            "final_score": 85.5,
            "skill_highlights": ["Communication", "Problem Solving"],
            "audio_recording_link": "https://example.com/recordings/abc123.mp3",
            "video_recording_link": "https://example.com/recordings/abc123.mp4"
            }
        }
        },
        "workflow": {
        "interview_id": "int_abc123",
        "step_by_step": [
            {
            "complete": true,
            "required": true,
            "order": 1,
            "id": "resume_upload",
            "started": true,
            "details": {
                "details": "Resume uploaded and analyzed"
            },
            "last_updated_timestamp": 1676452800
            },
            {
            "complete": true,
            "required": true,
            "order": 2,
            "id": "web_interview",
            "started": true,
            "is_analyzing_call": false,
            "last_updated_timestamp": 1676456400
            }
        ],
        "all_complete": true,
        "last_engagement": 1676456400
        },
        "agentic_data": {
        "web_interview_info": {
            "summary": {
            "interview_id": "int_abc123",
            "highlights": ["Strong communication skills", "Problem-solving abilities"],
            "lowlights": ["Limited experience with Python"],
            "match_score": 85
            },
            "scorecard": {
            "interview_id": "int_abc123",
            "match_details": ["Good fit for the role"],
            "questions": [
                {
                "question_id": "q1",
                "question": "Tell me about your experience with JavaScript",
                "evaluation_summary": "Strong experience with modern JavaScript frameworks",
                "evaluation_criteria": "JavaScript experience",
                "preview_timestamp": 1676453000,
                "evaluation_score": 4,
                "rank": 1,
                "chat_transcript": [
                    {
                    "speaker": "interviewer",
                    "text": "Tell me about your experience with JavaScript",
                    "timestamp": 1676453000,
                    "timestamp_str": "00:05:00"
                    },
                    {
                    "speaker": "candidate",
                    "text": "I've been working with JavaScript for 5 years...",
                    "timestamp": 1676453010,
                    "timestamp_str": "00:05:10"
                    }
                ],
                "score_weight": 2,
                "not_scored": false
                }
            ],
            "tags": ["JavaScript", "React", "Frontend"]
            },
            "communication": {
            "interview_id": "int_abc123",
            "speech_score": 4.2,
            "evaluations": [
                {
                "score": 4,
                "remarks": [
                    {
                    "details": "Clear and concise communication",
                    "transcript_reference": {
                        "speaker": "candidate",
                        "text": "I believe clear communication is essential...",
                        "timestamp": 1676453100,
                        "timestamp_str": "00:06:40"
                    }
                    }
                ]
                }
            ]
            },
            "transcript": {
            "interview_id": "int_abc123",
            "transcript": [
                {
                "speaker": "interviewer",
                "text": "Welcome to the interview. Can you introduce yourself?",
                "timestamp": 1676452800,
                "timestamp_str": "00:00:00"
                },
                {
                "speaker": "candidate",
                "text": "Hi, I'm John Smith, a software engineer with 5 years of experience...",
                "timestamp": 1676452810,
                "timestamp_str": "00:00:10"
                }
            ]
            },
            "audio_recording_link": "https://example.com/recordings/abc123.mp3",
            "video_recording_link": "https://example.com/recordings/abc123.mp4"
        },
        "resume_interview_info": {
            "score_criteria": {
            "interview_id": "int_abc123",
            "overall_score": 4.2,
            "confidence_score": 0.85,
            "criteria": [
                {
                "criteria_id": "c1",
                "criteria_text": "JavaScript Experience",
                "score": 4.5,
                "confidence_score": 0.9,
                "reasons": ["5 years of experience with JavaScript", "Experience with React and Vue"],
                "standout_parts": ["Led a team of 3 developers"]
                }
            ],
            "highlights": ["Strong JavaScript experience", "Team leadership"],
            "improvement_areas": ["Limited Python experience"]
            },
            "eligibility_criteria": {
            "interview_id": "int_abc123",
            "is_eligible": true,
            "confidence_score": 0.95,
            "criteria": [
                {
                "criteria_id": "e1",
                "criteria_text": "Minimum 3 years of experience",
                "pass_criteria": true,
                "confidence_score": 0.98,
                "reasons": ["5 years of experience as a software engineer"]
                }
            ],
            "skill_gaps": ["Python", "AWS"]
            },
            "resume_link": "https://example.com/resumes/abc123.pdf"
        }
    },
    "company_name": "Example Corp",
    "company_image": "https://example.com/logos/example-corp.png",
    "posting_title": "Senior Frontend Developer",
    "posting_interview_type": "web",
    "posting_id": "posting_123"
}

4. Get Interviews by Posting

GET /interviews/{posting_id}?page=1&limit=10 Retrieve a paginated list of candidate interviews for a job posting. Optionally filter by the date the candidate was invited to the posting using start_date and/or end_date, or fetch only what changed with updated_after (see Syncing changes).

Path Parameters

Parameter	Type	Required	Description
`posting_id`	string	Yes	The ID of the job posting

Query Parameters

Parameter	Type	Required	Description
`page`	integer	No	Page number (default: 1)
`limit`	integer	No	Number of interviews per page (default: 10, max: 10)
`start_date`	string	No	Only return candidates invited on or after this instant (inclusive). Accepts a `YYYY/MM/DD` date (e.g. `2025/09/19`) or Unix epoch seconds (e.g. `1710288000`). UTC.
`end_date`	string	No	Only return candidates invited on or before this instant (inclusive). Accepts a `YYYY/MM/DD` date (e.g. `2025/09/19`) or Unix epoch seconds (e.g. `1710288000`). UTC.
`updated_after`	string	No	Only return candidates whose data changed at or after this time, oldest first. `YYYY/MM/DD` or Unix epoch seconds. Not with `page` or `cursor`.
`cursor`	string	No	`next_cursor` from the previous response, to get the next page of changes. Not with `page` or `updated_after`.

Example Request

curl -X GET "https://api.heymilo.network/api/interviews/{posting_id}?page=1&limit=10" \
  -H "X-API-KEY: your_api_key_here"

Response Schema

Field	Type	Description
`candidates`	array	List of candidate interview objects
`total`	integer	Total number of interviews
`page`	integer	Current page number
`limit`	integer	Number of items per page
`total_pages`	integer	Total number of pages
`next_cursor`	string \| null	Pass as `cursor` for the next page of changes. `null` when done or when `updated_after`/`cursor` isn’t used.

Candidate Object Schema

Field	Type	Description
`interview_id`	string	Unique ID for the interview
`details`	object	Core interview details
`workflow`	object	Workflow progress and status
`agentic_data`	object	AI-generated analysis of resume/interview
`company_name`	string	Name of the company
`company_image`	string	Company logo URL
`posting_title`	string	Title of the job posting
`posting_interview_type`	string	Interview type (e.g. `web`, `voice`, etc.)
`posting_id`	string	Job posting ID

Selected details fields

Field	Type	Description
`invited_on`	number	Unix timestamp (seconds, UTC) for when the candidate was invited to this posting. This is the value the `start_date`/`end_date` filters operate on.
`updated_at`	number	Unix timestamp (seconds, UTC) when the interview results, scores, transcript or report last changed. The value `updated_after` filters on.
`interviewed_on`	number	Unix timestamp (seconds, UTC) for when the candidate completed the interview.

Response

{
  "candidates": [
    {
      "interview_id": "int_abc123",
      "details": {
        "interview_id": "int_abc123",
        "candidate_id": "cand_xyz789",
        "invited_on": 1676449200,
        "updated_at": 1676456712.48,
        "interviewed_on": 1676452800,
        "score": 85.5,
        "name": "John Smith",
        "email": "john.smith@example.com",
        "actions": {
          "can_view": true,
          "can_download": true
        },
        "status": "completed",
        "workflow_status": {
          "interview_id": "int_abc123",
          "step_by_step": [
            {
              "complete": true,
              "required": true,
              "order": 1,
              "id": "resume_upload",
              "started": true,
              "details": {
                "details": "Resume uploaded and analyzed"
              },
              "last_updated_timestamp": 1676452800
            },
            {
              "complete": true,
              "required": true,
              "order": 2,
              "id": "web_interview",
              "started": true,
              "is_analyzing_call": false,
              "last_updated_timestamp": 1676456400
            }
          ],
          "all_complete": true,
          "last_engagement": 1676456400
        },
        "metadata": {
          "resume": {
            "file_link": "https://example.com/resumes/abc123.pdf"
          },
          "web_interview": {
            "final_score": 85.5,
            "skill_highlights": ["Communication", "Problem Solving"],
            "audio_recording_link": "https://example.com/recordings/abc123.mp3",
            "video_recording_link": "https://example.com/recordings/abc123.mp4"
          }
        }
      },
      "workflow": {
        "interview_id": "int_abc123",
        "step_by_step": [
          {
            "complete": true,
            "required": true,
            "order": 1,
            "id": "resume_upload",
            "started": true,
            "details": {
              "details": "Resume uploaded and analyzed"
            },
            "last_updated_timestamp": 1676452800
          },
          {
            "complete": true,
            "required": true,
            "order": 2,
            "id": "web_interview",
            "started": true,
            "is_analyzing_call": false,
            "last_updated_timestamp": 1676456400
          }
        ],
        "all_complete": true,
        "last_engagement": 1676456400
      },
      "agentic_data": {
        "web_interview_info": {
          "summary": {
            "interview_id": "int_abc123",
            "highlights": ["Strong communication skills", "Problem-solving abilities"],
            "lowlights": ["Limited experience with Python"],
            "match_score": 85
          },
          "scorecard": {
            "interview_id": "int_abc123",
            "match_details": ["Good fit for the role"],
            "questions": [
              {
                "question_id": "q1",
                "question": "Tell me about your experience with JavaScript",
                "evaluation_summary": "Strong experience with modern JavaScript frameworks",
                "evaluation_criteria": "JavaScript experience",
                "preview_timestamp": 1676453000,
                "evaluation_score": 4,
                "rank": 1,
                "chat_transcript": [
                  {
                    "speaker": "interviewer",
                    "text": "Tell me about your experience with JavaScript",
                    "timestamp": 1676453000,
                    "timestamp_str": "00:05:00"
                  },
                  {
                    "speaker": "candidate",
                    "text": "I've been working with JavaScript for 5 years...",
                    "timestamp": 1676453010,
                    "timestamp_str": "00:05:10"
                  }
                ],
                "score_weight": 2,
                "not_scored": false
              }
            ],
            "tags": ["JavaScript", "React", "Frontend"]
          },
          "communication": {
            "interview_id": "int_abc123",
            "speech_score": 4.2,
            "evaluations": [
              {
                "score": 4,
                "remarks": [
                  {
                    "details": "Clear and concise communication",
                    "transcript_reference": {
                      "speaker": "candidate",
                      "text": "I believe clear communication is essential...",
                      "timestamp": 1676453100,
                      "timestamp_str": "00:06:40"
                    }
                  }
                ]
              }
            ]
          },
          "transcript": {
            "interview_id": "int_abc123",
            "transcript": [
              {
                "speaker": "interviewer",
                "text": "Welcome to the interview. Can you introduce yourself?",
                "timestamp": 1676452800,
                "timestamp_str": "00:00:00"
              },
              {
                "speaker": "candidate",
                "text": "Hi, I'm John Smith, a software engineer with 5 years of experience...",
                "timestamp": 1676452810,
                "timestamp_str": "00:00:10"
              }
            ]
          },
          "audio_recording_link": "https://example.com/recordings/abc123.mp3",
          "video_recording_link": "https://example.com/recordings/abc123.mp4"
        },
        "resume_interview_info": {
          "score_criteria": {
            "interview_id": "int_abc123",
            "overall_score": 4.2,
            "confidence_score": 0.85,
            "criteria": [
              {
                "criteria_id": "c1",
                "criteria_text": "JavaScript Experience",
                "score": 4.5,
                "confidence_score": 0.9,
                "reasons": ["5 years of experience with JavaScript", "Experience with React and Vue"],
                "standout_parts": ["Led a team of 3 developers"]
              }
            ],
            "highlights": ["Strong JavaScript experience", "Team leadership"],
            "improvement_areas": ["Limited Python experience"]
          },
          "eligibility_criteria": {
            "interview_id": "int_abc123",
            "is_eligible": true,
            "confidence_score": 0.95,
            "criteria": [
              {
                "criteria_id": "e1",
                "criteria_text": "Minimum 3 years of experience",
                "pass_criteria": true,
                "confidence_score": 0.98,
                "reasons": ["5 years of experience as a software engineer"]
              }
            ],
            "skill_gaps": ["Python", "AWS"]
          },
          "resume_link": "https://example.com/resumes/abc123.pdf"
        }
      },
      "company_name": "Example Corp",
      "company_image": "https://example.com/logos/example-corp.png",
      "posting_title": "Senior Frontend Developer",
      "posting_interview_type": "web",
      "posting_id": "posting_123"
    }
  ],
  "total": 42,
  "page": 1,
  "limit": 10,
  "total_pages": 5,
  "next_cursor": null
}

Syncing changes with `updated_after`

Keep a copy up to date without re-downloading every candidate.

First sync: page through the posting without updated_after and store each candidate by interview_id.

Later syncs (e.g. hourly): start 5 minutes before the newest details.updated_at you stored, to catch changes still being saved:

curl -X GET "https://api.heymilo.network/api/interviews/{posting_id}?updated_after=1760918100&limit=10" \
  -H "X-API-KEY: your_api_key_here"

Repeat with cursor until next_cursor is null:

curl -X GET "https://api.heymilo.network/api/interviews/{posting_id}?cursor={next_cursor}&limit=10" \
  -H "X-API-KEY: your_api_key_here"

Upsert by interview_id; overlapping syncs can return a candidate twice.

With updated_after or cursor, total / total_pages cover the current response only. To also filter by start_date / end_date, send them on every request.

Recruiter actions (status changes, shortlisting) don’t change updated_at, and deleted candidates just stop appearing. Run a periodic full sync to detect deletions.

5. Export Interviews

GET interviews/export/json Retrieve JSON file of interviews

Path Parameters

Field	Type	Required	Description
`posting_id`	string	Yes	ID of the job posting to export

Example Request

curl --request POST \
  --url "https://api.heymilo.network/api/interviews/export/json" \
  --header 'X-API-KEY: your_api_key_here' \
  --data '{
    "posting_id": "A03EBF1A"
  }'

Response Schema

Field	Type	Description
`job_id`	string	ID of the export job (used for tracking)
`status`	string	Status of the export job (e.g., `success`)
`file_url`	string	Direct URL to download the exported JSON file

Response

{
  "job_id": "1ce5b174-611f-4cec-b955-cd48da195fcb",
  "status": "success",
  "file_url": "https://cdn.heymilo.ai/exports/json/CFE6B6A30C63EF347F5E2BD67D171/B26029F7/candidates-B26029F7-2025-08-14-14-35.json"
}

6. Create Webhook

POST /create Create a new webhook configuration to receive real-time notifications about interview events.

Request Body

{
  "posting_id": "posting_123",
  "url": "https://your-domain.com/webhook-endpoint",
  "event_type": "interview_completed",
  "http_method": "post"
}

Example Request

curl -X POST "https://api.heymilo.network/api/webhook/create" \
  -H "X-API-KEY: your_api_key_here" \
  -H "Content-Type: application/json" \
  -d '{
    "posting_id": "posting_123",
    "url": "https://your-domain.com/webhook-endpoint",
    "event_type": "interview_completed",
    "http_method": "post"
  }'

Response

{
  "webhook_id": "webhook_789",
  "posting_id": "posting_123",
  "url": "https://your-domain.com/webhook-endpoint",
  "event_type": "interview_completed",
  "http_method": "post",
  "is_active": true,
  "created_at": 1703097600.0,
  "updated_at": 1703097600.0
}

Request Schema

Field	Type	Required	Description
`posting_id`	string	Yes	ID of the posting this webhook is for
`url`	string (URL)	Yes	Destination URL for the webhook
`event_type`	string	Yes	Event type: “interview_started”, “interview_completed”, “report_available”
`http_method`	string	No	HTTP method: “get” or “post” (default: “post”)

7. Get Webhook

GET /fetch/{webhook_id} Retrieve a webhook configuration by its ID.

Path Parameters

Parameter	Type	Required	Description
`webhook_id`	string	Yes	The webhook ID

Example Request

curl -X GET "https://api.heymilo.network/api/webhook/fetch/webhook_789" \
  -H "X-API-KEY: your_api_key_here"

Response

{
  "webhook_id": "webhook_789",
  "posting_id": "posting_123",
  "url": "https://your-domain.com/webhook-endpoint",
  "event_type": "interview_completed",
  "http_method": "post",
  "is_active": true,
  "created_at": 1703097600.0,
  "updated_at": 1703097600.0
}

8. Get All Webhooks

GET /all Retrieve webhooks with optional filters.

Query Parameters

Parameter	Type	Required	Description
`posting_id`	string	No	Filter by posting ID
`event_type`	string	No	Filter by event type

9. Deactivate Webhook

POST /deactivate/{webhook_id} Deactivate a webhook.

Path Parameters

Parameter	Type	Required	Description
`webhook_id`	string	Yes	The webhook ID

10. Ingest Single Candidate

POST /ingest/x/{url_key} Ingest a single candidate into the system using a posting-specific url_key.

Spectial Note

retake: false (default) - Returns existing interview if candidate already has one for this posting
retake: true - Always creates a new interview, even if candidate already has one

Path Parameters

Field	Type	Required	Description
`url_key`	string	Yes	Unique key identifying the target pipeline

Example Request

curl --request POST \
  --url "https://api.heymilo.network/api/ingest/x/{url_key}" \
  --header 'Content-Type: application/json' \
  --header 'X-API-KEY: your_api_key_here' \
  --data '{
    "name": "John Doe",
    "email": "john.doe@example.com",
    "phone_number": "+1234567890",
    "metadata": {
      "source": "careers_page",
      "job_id": "job123"
    },
    "data": {
      "experience": "5 years",
      "education": "Bachelor'\''s in Computer Science"
    },
    "retake" : true
  }'

Response Schema

Field	Type	Description
`message`	string	Confirmation message about ingestion initiation
`ingestion_id`	string	Unique ID for the ingestion process
`interview_details`	array	List of interviews created/linked for the candidate

Each interview details:

Field	Type	Description
`interview_id`	string	Unique identifier for the interview
`interview_link`	string	URL link for candidate’s interview access

Response

{
  "message": "Data Ingestion initiated for john.doe@example.com",
  "ingestion_id": "550e8400-e29b-41d4-a716-446655440000",
  "interview_details": [
    {
      "interview_id": "int_id_78658707",
      "interview_link": "https://candidates.sample/heymiloai/i/interview_id"
    }
  ]
}

11. Bulk Ingest Candidates

POST /ingest/x/bulk/{url_key} Ingest multiple candidates into the system in a single request, using a posting-specific url_key.

Spectial Note

retake: false (default) - Returns existing interview if candidate already has one for this posting
retake: true - Always creates a new interview, even if candidate already has one

Path Parameters

Field	Type	Required	Description
`url_key`	string	Yes	Unique key identifying the target pipeline

Example Request

curl --request POST \
  --url "https://api.heymilo.network/api/ingest/x/bulk/{url_key}" \
  --header 'Content-Type: application/json' \
  --header 'X-API-KEY: your_api_key_here' \
  --data '{
    "data": [
      {
        "name": "John Doe",
        "email": "john.doe@example.com",
        "phone_number": "+1234567890",
        "metadata": {
          "source": "careers_page",
          "job_id": "job123"
        },
        "data": {
          "experience": "5 years",
          "education": "Bachelor'\''s in Computer Science"
        },
        "retake" : true
      },
      {
        "name": "Jane Smith",
        "email": "jane.smith@example.com",
        "phone_number": "+1987654321",
        "metadata": {},
        "data": {},
        "retake" : false
      }
    ]
  }'

Response Schema

Field	Type	Description
`message`	string	Confirmation message about bulk ingestion initiation
`ingestion_id`	string	Unique ID for the bulk ingestion process
`interview_details`	array	List of interviews created/linked for the candidates

Each interview details:

Field	Type	Description
`interview_id`	string	Unique identifier for the interview
`interview_link`	string	URL link for candidate’s interview access

Response

{
  "message": "Bulk candidate ingestion job created successfully",
  "ingestion_id": "ing_123456789",
  "interview_details": [
    {
      "interview_id": "int_id_78658707",
      "interview_link": "https://candidates.sample/heymiloai/i/interview_id"
    },
    {
      "interview_id": "int_id_78658703",
      "interview_link": "https://candidates.sample/heymiloai/i/interview_id"
    }
  ]
}

Webhook Event Types

The API supports the following webhook event types:

Event Type	Description
`interview_started`	Triggered when a candidate starts an interview
`interview_completed`	Triggered when a candidate completes an interview
`report_available`	Triggered when an interview report becomes available

Error Handling

All API endpoints return structured error responses:

{
  "detail": "Error description",
  "status_code": 422,
  "error_type": "validation_error"
}

Support

For API support and questions:

Email: support@heymilo.ai
Documentation: https://docs.heymilo.cloud
Status Page: https://status.heymilo.ai

Last updated: Jun 17, 2026

​Legacy API (v1) — Public API Documentation

​Overview

​Base URL

​Authentication

​Rate Limiting

​Response Codes

​API Endpoints

​1. Health Check

​Response

​Response Schema

​2. Get Job Postings

​Query Parameters

​Example Request

​Response

​Response Schema

​3. Get Interview Details by Interview ID

​Path Parameters

​Example Request

​Response

​4. Get Interviews by Posting

​Path Parameters

​Query Parameters

​Example Request

​Response Schema

​Response

​Syncing changes with updated_after

​5. Export Interviews

​Path Parameters

​Example Request

​Response Schema

​Response

​6. Create Webhook

​Request Body

​Example Request

​Response

​Request Schema

​7. Get Webhook

​Path Parameters

​Example Request

​Response

​8. Get All Webhooks

​Query Parameters

​9. Deactivate Webhook

​Path Parameters

​10. Ingest Single Candidate

​Spectial Note

​Path Parameters

​Example Request

​Response Schema

​Each interview details:

​Response

​11. Bulk Ingest Candidates

​Spectial Note

​Path Parameters

​Example Request

​Response Schema

​Each interview details:

​Response

​Webhook Event Types

​Error Handling

​Support

Legacy API (v1) — Public API Documentation

Overview

Base URL

Authentication

Rate Limiting

Response Codes

API Endpoints

1. Health Check

Response

Response Schema

2. Get Job Postings

Query Parameters

Example Request

Response

Response Schema

3. Get Interview Details by Interview ID

Path Parameters

Example Request

Response

4. Get Interviews by Posting

Path Parameters

Query Parameters

Example Request

Response Schema

Response

Syncing changes with `updated_after`

5. Export Interviews

Path Parameters

Example Request

Response Schema

Response

6. Create Webhook

Request Body

Example Request

Response

Request Schema

7. Get Webhook

Path Parameters

Example Request

Response

8. Get All Webhooks

Query Parameters

9. Deactivate Webhook

Path Parameters

10. Ingest Single Candidate

Spectial Note

Path Parameters

Example Request

Response Schema

Each interview details:

Response

11. Bulk Ingest Candidates

Spectial Note

Path Parameters

Example Request

Response Schema

Each interview details:

Response

Webhook Event Types

Error Handling

Support